# 1000
for corpus in mr brown abc
 do
     python train.py --tvt_corpus ../data/${corpus}/ \
            --model_dir models/${corpus}/ \
            --emsize 1000 --nhid 1000 --tied --dropout 0.5 \
            --cuda
 done

# 1500
for corpus in mr brown abc
 do
     python train.py --tvt_corpus ../data/${corpus}/ \
            --model_dir models/${corpus}/ \
            --emsize 1500 --nhid 1500 --tied --dropout 0.5 \
            --cuda
 done

for difficulty in primary
do
    for corpus in mr brown abc
    do
        python train.py --tvt_corpus ../data/${difficulty}/ \
            --model_dir models/${difficulty}/ \
            --cuda \
            --fine_tune_from models/${corpus}/emsize1000nhid1000dropout0.50tiedTrue/
    done
done


for difficulty in middle
do
    for corpus in mr brown abc
    do
        python train.py --tvt_corpus ../data/${difficulty}/ \
            --model_dir models/${difficulty}/ \
            --cuda \
            --fine_tune_from models/${corpus}/emsize1000nhid1000dropout0.50tiedTrue/
    done
done


for difficulty in high
do
    for corpus in mr brown abc
    do
        python train.py --tvt_corpus ../data/${difficulty}/ \
            --model_dir models/${difficulty}/ \
            --cuda \
            --fine_tune_from models/${corpus}/emsize1500nhid1500dropout0.50tiedTrue/
    done
done
